Data Analyst

We are seeking a skilled Data Analyst to join our team in Austin, Texas. You will be reporting into the Director of Data Engineering and will play a crucial role in shaping our data-driven decision-making process. You will be leveraging a deep understanding of the data to build the appropriate delivery mechanism for the insights. You will play a pivotal role in transforming structured datasets into actionable insights, contributing to strategic decision-making processes, and enhancing the overall data-driven culture within our organization.

• Use best practices to transform and prepare data for analysis. This includes writing, testing, and deploying transformation code, ensuring data quality and reliability.
• Create and maintain advanced tools and dashboards. Train Operational Analysts on these tools, enabling them to independently run reports and analyses.
• Develop and provide warehouse code optimized for deployment by Data Engineers. This involves working with modern data warehousing tools like Snowflake.
• Ensure the highest quality of data and maintain thorough documentation, making it easier for end users to understand and use the data effectively.
• Serve as a key intermediary between Operational Analysts and Data Engineers, understanding and translating the requirements of both teams to improve data processes and output.
• Leverage SQL/python to extract, transform and analyze various datasets within and across business unitsDesign and implement data models to support analytical needs to empower end-users like data scientists and business analysts and drive a culture of data driven decision makingCreate comprehensive and visually appealing reports, dashboards, and visualizations to communicate findings.
• Implement robust data quality assurance processes to ensure accuracy and reliability of datasets.
• Work closely with cross-functional teams, including business analysts, engineers, and stakeholders, to understand data needs and deliver actionable models & insights.
• Provide training and mentoring to analysts (within and outside of the team)Lead and contribute to the development of best practices for data analysis within the team.

• This is a hybrid position requiring in-office presence on Tuesdays, Wednesdays, and Thursdays at our Austin office.
• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field or a Master's degree is preferred.
• Strong academic background in data analysis, statistics, and computer programming.
• Minimum of 1-3 years of experience in a data analytics or engineering role, preferably in a fast-paced and dynamic environment.
• Proficiency in data analysis and visualization toolsExperience with modern data stack tools like dbt, and familiarity with cloud-based data warehouses is a bonusExceptional problem-solving abilities and a dedication to improving data quality at its source.
• Effective communication skills, able to bridge technical and business domains seamlessly.
• Maintain thorough documentation, making it easier for end users to understand and use the output effectively.
• Create comprehensive and visually appealing reports, dashboards, and visualizations to communicate findings.
• Collaborate with stakeholders to understand data requirements and ensure alignment with business objectives.
• Stay informed about emerging trends and advancements in data analytics and SQL technologies.
• Propose and implement process improvements to enhance the efficiency of data-related workflows